Implement K-nearest neighbor classifier, weighted nearest neighbor classifier, bagged nearest neighbor classifier, optimal weighted nearest neighbor classifier and stabilized nearest neighbor classifier, and perform model selection via 5 fold cross-validation for them. This package also provides functions for computing the classification error and classification instability of a classification procedure.
|Author||Wei Sun, Xingye Qiao, and Guang Cheng|
|Date of publication||2015-08-23 10:22:09|
|Maintainer||Wei Sun <firstname.lastname@example.org>|
cv.tune: Tuning via 5 fold Cross-Validation.
mybnn: Bagged Nearest Neighbor Classifier
mycis: Classification Instability
mydata: Data Generator
myerror: Classification Error
myknn: K Nearest Neighbor Classifier
myownn: Optimal Weighted Nearest Neighbor Classifier
mysnn: Stabilized Nearest Neighbor Classifier
mywnn: Weighted Nearest Neighbor Classifier
snn-package: Package for Stabilized Nearest Neighbor Classifier
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.